A computational model for emergent dynamics in the kidney

Moss, Robert; Kazmierczak, Edmund; Kirley, Michael; Harris, Peter

doi:10.1098/rsta.2008.0313

Cited by 13 publications

(16 citation statements)

References 30 publications

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“… 2005 , 2014 ; Moss et al. 2009 ; Moss and Thomas 2014 ) or on the role of the kidney in blood pressure regulation (Averina et al. 2012 ; Beard and Mescam 2012 ).…”

Section: Discussionmentioning

confidence: 99%

Implementation of a Model of Bodily Fluids Regulation

Fontecave-Jallon

Thomas

2015

Acta Biotheor

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The classic model of blood pressure regulation by Guyton et al. (Annu Rev Physiol 34:13–46, 1972a; Ann Biomed Eng 1:254–281, 1972b) set a new standard for quantitative exploration of physiological function and led to important new insights, some of which still remain the focus of debate, such as whether the kidney plays the primary role in the genesis of hypertension (Montani et al. in Exp Physiol 24:41–54, 2009a; Exp Physiol 94:382–388, 2009b; Osborn et al. in Exp Physiol 94:389–396, 2009a; Exp Physiol 94:388–389, 2009b). Key to the success of this model was the fact that the authors made the computer code (in FORTRAN) freely available and eventually provided a convivial user interface for exploration of model behavior on early microcomputers (Montani et al. in Int J Bio-med Comput 24:41–54, 1989). Ikeda et al. (Ann Biomed Eng 7:135–166, 1979) developed an offshoot of the Guyton model targeting especially the regulation of body fluids and acid–base balance; their model provides extended renal and respiratory functions and would be a good basis for further extensions. In the interest of providing a simple, useable version of Ikeda et al.’s model and to facilitate further such extensions, we present a practical implementation of the model of Ikeda et al. (Ann Biomed Eng 7:135–166, 1979), using the ODE solver Berkeley Madonna.Electronic supplementary materialThe online version of this article (doi:10.1007/s10441-015-9250-3) contains supplementary material, which is available to authorized users.

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“… 2005 , 2014 ; Moss et al. 2009 ; Moss and Thomas 2014 ) or on the role of the kidney in blood pressure regulation (Averina et al. 2012 ; Beard and Mescam 2012 ).…”

Section: Discussionmentioning

confidence: 99%

Implementation of a Model of Bodily Fluids Regulation

Fontecave-Jallon

Thomas

2015

Acta Biotheor

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“…In addition to segmental and medullary transport models, the portal currently supports a multi-nephron model as demonstrated by the inclusion of a dynamical network model (Moss et al 2009). The modelling approach combines network automata, graphs in which each node has a state and a set of rules for changing the state, into a single model.…”

Section: (Iii) Multi-nephron Modelmentioning

confidence: 99%

The Virtual Kidney: an eScience interface and Grid portal

Harris

Buyya

Chu

et al. 2009

Phil. Trans. R. Soc. A.

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The Virtual Kidney uses a web interface and distributed computing to provide experimental scientists and analysts with access to computational simulations and knowledge databases hosted in geographically separated laboratories. Users can explore a variety of complex models without requiring the specific programming environment in which applications have been developed. This initiative exploits high-bandwidth communication networks for collaborative research and for shared access to knowledge resources. The Virtual Kidney has been developed within a specialist community of renal scientists but is transferable to other areas of research requiring interaction between published literature and databases, theoretical models and simulations and the formulation of effective experimental designs.A web-based three-dimensional interface provides access to experimental data, a parameter database and mathematical models. A multi-scale kidney reconstruction includes blood vessels and serially sectioned nephrons. Selection of structures provides links to the database, returning parameter values and extracts from the literature.Models are run locally or remotely with a Grid resource broker managing scheduling, monitoring and visualization of simulation results and application, credential and resource allocation. Simulation results are viewed graphically or as scaled colour gradients on the Virtual Kidney structures, allowing visual and quantitative appreciation of the effects of simulated parameter changes.

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“…Kidney parenchyma scintigram is widely utilized method for the investigation of urinary system physiology [1][2][3][4]. Digitized data series obtained from temporal scintigraphic investigation were analyzed in this paper.…”

Section: Introductionmentioning

confidence: 99%

Computational analysis of kidney scintigrams

Vrincianu¹,

Puscasu²,

Creangă

et al. 2013

AIP Conference Proceedings

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The scintigraphic investigation of normal and pathological kidneys was carried out using specialized gamma-camera device from nuclear medicine hospital department. Technetium 90m isotope with gamma radiation emission, coupled with vector molecules for kidney tissues was introduced into the subject body, its dynamics being recorded as data source for kidney clearance capacity. Two representative data series were investigated, corresponding to healthy and pathological organs respectively. The semiquantitative tests applied for the comparison of the two distinct medical situations were: the shape of probability distribution histogram, the power spectrum, the auto-correlation function and the Lyapunov exponent. While power spectrum led to similar results in both cases, significant differences were revealed by means of distribution probability, Lyapunov exponent and correlation time, recommending these numerical tests as possible complementary tools in clinical diagnosis.

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A computational model for emergent dynamics in the kidney

Cited by 13 publications

References 30 publications

Implementation of a Model of Bodily Fluids Regulation

Implementation of a Model of Bodily Fluids Regulation

The Virtual Kidney: an eScience interface and Grid portal

Computational analysis of kidney scintigrams

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